A pilot study is a small scale trial run of the main research project. It helps researchers identify practical difficulties in sampling, administration of tools and data recording. By analyzing pilot results, they can refine questionnaires, interview schedules or experimental procedures. This process improves the feasibility and reliability of the full scale study.
Option A:
Option A focuses on report format, which is not the main intention of pilot work. Report structure is usually decided later and does not require field trials.
Option B:
Option B correctly emphasizes that pilot studies are used to check whether the design, tools and procedures function as intended. It allows modifications before committing large resources to the main study, thereby reducing risk of failure or poor quality data.
Option C:
Option C associates pilot with increasing sample size, which is inaccurate. Pilot samples are typically smaller than final samples and are used for testing, not for enlarging the dataset.
Option D:
Option D wrongly assumes that pilot work guarantees statistical significance. Significance depends on effect sizes, variability and sample size in the main study, not purely on whether a pilot was conducted.
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